Search Results for author: Sean T. Vittadello

Found 5 papers, 1 papers with code

Open Problems in Mathematical Biology

no code implementations20 Jun 2022 Sean T. Vittadello, Michael P. H. Stumpf

Biology is data-rich, and it is equally rich in concepts and hypotheses.

A group theoretic approach to model comparison with simplicial representations

no code implementations3 Nov 2021 Sean T. Vittadello, Michael P. H. Stumpf

First, we present a rigorous and automatable methodology for the core process of comparison by equivalence, namely determining the vertices in a simplicial representation, corresponding to model components, that are conceptually related and the identification of these vertices via simplicial operations.

Bayesian and Algebraic Strategies to Design in Synthetic Biology

no code implementations17 Aug 2021 Robyn P. Araujo, Sean T. Vittadello, Michael P. H. Stumpf

Innovation in synthetic biology often still depends on large-scale experimental trial-and-error, domain expertise, and ingenuity.

Model comparison via simplicial complexes and persistent homology

1 code implementation24 Dec 2020 Sean T. Vittadello, Michael P. H. Stumpf

In many scientific and technological contexts we have only a poor understanding of the structure and details of appropriate mathematical models.

Model Selection Algebraic Topology Quantitative Methods

A novel mathematical model of heterogeneous cell proliferation

no code implementations6 Mar 2020 Sean T. Vittadello, Scott W. McCue, Gency Gunasingh, Nikolas K. Haass, Matthew J. Simpson

As motivation for our model we provide experimental data that illustrate the induced-switching process.

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